CN110941917A - Diesel engine DPF carbon loading capacity calculation method based on pressure drop - Google Patents
Diesel engine DPF carbon loading capacity calculation method based on pressure drop Download PDFInfo
- Publication number
- CN110941917A CN110941917A CN201911303900.2A CN201911303900A CN110941917A CN 110941917 A CN110941917 A CN 110941917A CN 201911303900 A CN201911303900 A CN 201911303900A CN 110941917 A CN110941917 A CN 110941917A
- Authority
- CN
- China
- Prior art keywords
- dpf
- pressure drop
- exhaust
- carbon loading
- carbon
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 99
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 99
- 238000011068 loading method Methods 0.000 title claims abstract description 67
- 238000004364 calculation method Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000001914 filtration Methods 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims abstract description 15
- 238000001228 spectrum Methods 0.000 claims description 5
- 239000000446 fuel Substances 0.000 claims description 4
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 239000002956 ash Substances 0.000 description 36
- 230000008929 regeneration Effects 0.000 description 13
- 238000011069 regeneration method Methods 0.000 description 13
- 239000004071 soot Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000013178 mathematical model Methods 0.000 description 5
- 239000000654 additive Substances 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 239000012065 filter cake Substances 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 229910044991 metal oxide Inorganic materials 0.000 description 2
- 150000004706 metal oxides Chemical class 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 239000013618 particulate matter Substances 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 238000001556 precipitation Methods 0.000 description 2
- 235000002918 Fraxinus excelsior Nutrition 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 239000003054 catalyst Substances 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000010790 dilution Methods 0.000 description 1
- 239000012895 dilution Substances 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 239000010705 motor oil Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing internal-combustion engines
- G01M15/10—Testing internal-combustion engines by monitoring exhaust gases or combustion flame
- G01M15/102—Testing internal-combustion engines by monitoring exhaust gases or combustion flame by monitoring exhaust gases
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing internal-combustion engines
- G01M15/10—Testing internal-combustion engines by monitoring exhaust gases or combustion flame
- G01M15/102—Testing internal-combustion engines by monitoring exhaust gases or combustion flame by monitoring exhaust gases
- G01M15/106—Testing internal-combustion engines by monitoring exhaust gases or combustion flame by monitoring exhaust gases using pressure sensors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The invention discloses a method for calculating the carbon loading capacity of a diesel engine DPF based on pressure drop, which comprises the following steps: estimating the carbon loading amount in the DPF according to parameters including the rotating speed, the load, the DPF exhaust pressure difference, the exhaust mass flow, the DOC front exhaust temperature, the DPF front exhaust temperature and the DPF rear exhaust temperature; calculating a carbon load value based on back pressure through a DPF back pressure model; the DPF backpressure model comprises carbon load pressure drop calculation, Ash Ash evaluation, DPF front and back flow resistance calculation, flow resistance and exhaust volume flow filtering, a pressure drop carbon load evaluation submodel and a carbon load correction submodel. The method can accurately estimate the carbon loading capacity of the DPF, can ensure that the DPF is safely and effectively trapped and regenerated, and solves the problem that the carbon loading capacity in the DPF cannot be accurately estimated at present.
Description
Technical Field
The invention relates to the technical field of diesel engine exhaust aftertreatment, in particular to a carbon loading capacity calculation method of a diesel engine DPF based on pressure drop.
Background
The diesel engine is widely applied to the transportation industry at present due to the characteristics of strong dynamic property, good stability, fuel economy and the like. A Diesel Particulate Filter (DPF) is a ceramic Filter installed in the exhaust system of a Diesel engine, which can trap Particulate emissions before they enter the atmosphere, such as diffusion precipitation, inertial precipitation, or linear interception, and can effectively purify 70% to 90% of the particulates in the exhaust, which is one of the most effective and direct methods for purifying Diesel particulates. During filtration, particulate matter accumulates in the particulate filter causing an increase in the exhaust back pressure of the diesel engine, and when the exhaust back pressure reaches 16kPa to 20kPa, the diesel engine performance starts to deteriorate, so it is necessary to periodically remove particulate matter to return the particulate filter to the original operating state, i.e., regeneration. However, the regeneration control of the DPF of the diesel engine generally has the problems of high energy consumption of the diesel engine, high dilution rate of engine oil and poor reliability of the diesel engine at present. DPF, the most effective technology currently used to control PM emissions from diesel engines, is an integral part of diesel aftertreatment systems. Diesel DPF regeneration requires the aftertreatment controller to accurately determine the regeneration timing, i.e., the time at which the carbon loading reaches an upper limit. The basic carbon loading of the DPF can be estimated through a differential pressure sensor, but the carbon loading is influenced by the exhaust flow and the exhaust temperature. As the numerical values of soot generated by combustion of the non-road diesel engine are different under different working conditions, the regeneration efficiency is closely related to the carbon load estimation model in the process of carrying out the DPF after-treatment emission control, and therefore an accurate carbon load assessment mathematical model needs to be established.
Disclosure of Invention
The object of the present invention is to solve the problems mentioned in the background section above by means of a method for pressure drop based calculation of the carbon loading of a DPF for a diesel engine.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for pressure drop based carbon loading calculation for a diesel DPF, the method comprising:
estimating the carbon loading in the DPF according to parameters including but not limited to rotating speed, load, DPF exhaust pressure difference, exhaust mass flow, DOC front exhaust temperature, DPF front exhaust temperature and DPF rear exhaust temperature;
calculating a carbon load value based on back pressure through a DPF back pressure model; the DPF backpressure model comprises but is not limited to carbon load pressure drop calculation, Ash Ash estimation, DPF front-back flow resistance calculation, flow resistance and exhaust volume flow filtering, a pressure drop carbon load estimation submodel and a carbon load correction submodel.
In particular, the carbon loading pressure drop calculation specifically includes: the carbon loading capacity pressure drop calculation module acquires the front and rear pressure drop values of the DPF according to the measured value of the DPF differential pressure sensor; calculating the no-load pressure drop of the DPF by taking the temperature of the inner surface of the DPF and the exhaust flow as input; calculating a DPF pressure drop difference correction coefficient according to the exhaust mass flow and the Ash volume; subtracting the DPF no-load pressure drop value from the DPF front and rear pressure drop values to obtain DPF front and rear relative pressure drop values, and multiplying the DPF front and rear relative pressure drop values by an ash pressure drop correction coefficient to obtain corrected DPF front and rear pressure drop values; the volume flow of the exhaust gas is used for correcting the influence of nonlinear pressure drop loss on the flow resistance of the DPF, and finally the carbon loading amount is obtained according to the volume flow of the exhaust gas and the corrected front-back pressure drop difference of the DPF.
In particular, the Ash assessment specifically includes: the Ash evaluation module calculates the accumulated basic volume mass of the Ash based on the fuel injection quantity and the rotating speed and carries out time integration to obtain the average accumulated volume quantity of the Ash; and correcting the volume mass of the Ash content according to the total running time of the diesel engine on the DPF to obtain the volume mass of the final Ash content, and calculating a carbon loading capacity correction factor of the Ash content based on the volume mass of the Ash content for correcting the carbon loading capacity.
Specifically, the calculation of the front and rear flow resistance of the DPF specifically includes: the flow resistance calculation module takes exhaust flow and carbon load pressure drop as input, calculates a flow resistance basic value of the air flow inside the DPF, performs temperature correction according to the temperature of the inner surface of the DPF, converts to obtain the flow resistance of the air flow inside the DPF at a standard temperature, and finally performs correction of ash content.
In particular, the flow resistance and exhaust volume flow filtering comprises in particular: the filtering module evaluates the working state of the DPF through the working parameters of the DPF and judges whether filtering needs to be carried out on the output values of the flow resistance and the exhaust flow.
Specifically, the evaluation of the carbon load drop and the correction of the carbon load comprise the following steps: and the carbon loading capacity evaluation module acquires a carbon loading capacity basic value through a three-dimensional pulse spectrum taking the exhaust flow and the flow resistance as input, and corrects Ash content of Ash.
The method for calculating the carbon loading capacity of the DPF of the diesel engine based on the pressure drop can accurately estimate the carbon loading capacity of the DPF, can ensure that the DPF is safely and effectively collected and regenerated, and solves the problem that the carbon loading capacity in the DPF cannot be accurately estimated at present.
Drawings
Fig. 1 is a schematic flow chart of a method for calculating a carbon loading of a DPF of a diesel engine based on pressure drop according to an embodiment of the present invention;
FIG. 2 is a block diagram of carbon loading drop calculation logic provided by an embodiment of the present invention;
FIG. 3 is a block diagram of Ash evaluation logic provided in accordance with an embodiment of the present invention;
FIG. 4 is a logic diagram of DPF front-rear flow resistance calculation provided by an embodiment of the present invention;
FIG. 5 is a logic block diagram of flow resistance and exhaust volume flow filtering provided by an embodiment of the present invention;
fig. 6 is a logic diagram of pressure drop carbon loading evaluation and carbon loading correction according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following figures and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It is also to be noted that, for the convenience of description, only a part of the contents, not all of the contents, which are related to the present invention, are shown in the drawings, and unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
As the numerical values of soot generated by combustion of the non-road diesel engine are different under different working conditions, the regeneration efficiency is closely related to the carbon load estimation model in the process of carrying out the DPF after-treatment emission control, and therefore an accurate carbon load assessment mathematical model needs to be established. Carbon loading versus backpressure relationship: the trapping of the carbon particles by the DPF comprises a deep bed trapping period and a filter cake trapping period; at the early stage of trapping, the DPF is in a deep bed trapping stage, and the loading of carbon particulates rapidly blocks the filter pores, resulting in rapid decrease in wall permeability. During the deep bed trapping period, the exhaust backpressure of the DPF will rise rapidly with increasing carbon loading. As the buildup of carbon particulates grows and a cake layer is formed, the DPF enters a cake capture phase. The tendency of exhaust backpressure to increase with increasing carbon loading becomes less. When the carbon particles are loaded to a certain extent, a filter cake layer of considerable thickness has been formed, and the tendency of the exhaust back pressure to increase with increasing carbon loading becomes more gradual. The carbon accumulated by the DPF is mostly trapped during the cake layer trapping period. Meanwhile, Ash is metal oxide Ash formed at high temperature by metal-based additives in fuel oil, additives in lubricating oil, aged metal-based catalysts in an aftertreatment system and the like. It deposits in the filter body pores causing an increase in DPF backpressure, which increases the carbon loading assessment error and also causes frequent DPF regeneration. These metal oxide ashes cannot be removed by high temperature reactions and require physical means for removal. Exhaust temperature and exhaust flow are the two most significant factors affecting DPF pressure drop at a given carbon loading. Under the condition of certain carbon loading and temperature, the pressure drop of the DPF and the exhaust flow have better linear correlation; and under the condition of certain carbon loading and exhaust gas flow, the pressure drop and the temperature of the DPF are also in good high-order linear correlation. The establishment of the carbon loading evaluation model based on DPF backpressure is the core of DPF regeneration control, and mainly comprises a combined model (comprising a backpressure loading evaluation model, a pressure drop simulation mathematical model and an emission passive regeneration mathematical model) for carbon loading evaluation, the carbon loading of the DPF can be more accurately estimated through the combined model, and the safe and effective trapping and regeneration of the DPF can be guaranteed.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for calculating a carbon loading of a diesel DPF based on pressure drop according to an embodiment of the present invention.
The method for calculating the carbon loading of the diesel engine DPF based on the pressure drop in the embodiment specifically comprises the following steps:
the carbon loading inside the DPF is estimated based on parameters including, but not limited to, speed, load, DPF exhaust pressure differential, exhaust mass flow, DOC front exhaust temperature, DPF front exhaust temperature, and DPF rear exhaust temperature.
Calculating a carbon load value based on back pressure through a DPF back pressure model; the DPF backpressure model comprises but is not limited to carbon load pressure drop calculation, Ash Ash estimation, DPF front-back flow resistance calculation, flow resistance and exhaust volume flow filtering, a pressure drop carbon load estimation submodel and a carbon load correction submodel.
In this embodiment, the DPF backpressure is mainly composed of five components, including a pressure drop caused by contraction of the inlet airflow, a pressure drop caused by expansion of the outlet airflow, an on-way loss pressure drop caused by friction of the airflow in the inlet channel, an on-way loss pressure drop caused by friction of the airflow in the outlet channel, a pressure drop caused by the airflow passing through the wall surface of the porous medium, and a pressure drop caused by accumulation of Soot. In this embodiment, a DPF pressure drop characteristic pulse spectrum is obtained through gantry calibration, a sensor is used to obtain real-time backpressure and bed temperature of a DPF, temperature correction is performed on the pressure drop, and then no-load correction and Ash correction are performed to obtain a Soot pressure drop. The Soot pressure drop calculation sub-model firstly obtains pressure drop input before and after a DPF through a DPF pressure difference sensor, and corrects the DPF pressure drop based on the exhaust flow and the Ash cumulant. A DPF no-load pressure drop is then obtained based on the exhaust flow and DPF internal surface temperature, and an Ash correction factor is obtained based on the exhaust flow and the Ash cumulative amount. And correcting the no-load voltage drop by an Ash correction factor to obtain the corrected no-load voltage drop. And finally, subtracting the corrected no-load pressure drop from the Ash corrected DPF pressure drop to obtain the Soot pressure drop. Specifically, as shown in fig. 2, the calculation of the carbon load drop in the present embodiment specifically includes: the carbon loading capacity pressure drop calculation module acquires the front and rear pressure drop values of the DPF according to the measured value of the DPF differential pressure sensor; calculating the no-load pressure drop of the DPF by taking the temperature of the inner surface of the DPF and the exhaust flow as input; calculating a DPF pressure drop difference correction coefficient according to the exhaust mass flow and the Ash volume; subtracting the DPF no-load pressure drop value from the DPF front and rear pressure drop values to obtain DPF front and rear relative pressure drop values, and multiplying the DPF front and rear relative pressure drop values by an ash pressure drop correction coefficient to obtain corrected DPF front and rear pressure drop values; the volume flow of the exhaust gas is used for correcting the influence of nonlinear pressure drop loss on the flow resistance of the DPF, and finally the carbon loading amount is obtained according to the volume flow of the exhaust gas and the corrected front-back pressure drop difference of the DPF.
Specifically, as shown in fig. 3, the Ash evaluation in this example specifically includes: the Ash evaluation module calculates the accumulated basic volume mass of the Ash based on the fuel injection quantity and the rotating speed and carries out time integration to obtain the average accumulated volume quantity of the Ash; and correcting the volume mass of the Ash content according to the total running time of the diesel engine on the DPF to obtain the volume mass of the final Ash content, and calculating a carbon loading capacity correction factor of the Ash content based on the volume mass of the Ash content for correcting the carbon loading capacity.
Specifically, as shown in fig. 4, in the present embodiment, the calculation of the front-rear flow resistance of the DPF specifically includes: the flow resistance calculation module takes exhaust flow and carbon load pressure drop as input, calculates a flow resistance basic value of the air flow inside the DPF, performs temperature correction according to the temperature of the inner surface of the DPF, converts to obtain the flow resistance of the air flow inside the DPF at a standard temperature, and finally performs correction of ash content.
Specifically, as shown in fig. 5, in the present embodiment, the filtering of the flow resistance and the exhaust volume flow specifically includes: the filtering module evaluates the working state of the DPF through the working parameters of the DPF and judges whether filtering needs to be carried out on the output values of the flow resistance and the exhaust flow. The filtering module mainly functions to filter the exhaust flow and the flow resistance when the exhaust flow fluctuates greatly, and the judgment condition is to filter the exhaust flow and the flow resistance when the exhaust flow is lower than the lower limit during the regeneration period, otherwise, not filter. The time constant of the filter is divided into a regeneration period constant and a non-regeneration period constant. An initial value of the flow resistance filter is calculated based on the pulse spectrum of the exhaust flow rate and the carbon load value. Outputting the filtered flow resistance and the filtered exhaust flow.
Specifically, as shown in fig. 6, the evaluation of the carbon capacity drop and the correction of the carbon capacity in this embodiment specifically include: and the carbon loading capacity evaluation module acquires a carbon loading capacity basic value through a three-dimensional pulse spectrum taking the exhaust flow and the flow resistance as input, and corrects Ash content of Ash.
The carbon loading capacity evaluation mathematical model based on pressure drop provided by the invention can accurately calculate the carbon loading capacity of the DPF.
It will be understood by those skilled in the art that all or part of the above embodiments may be implemented by the computer program to instruct the relevant hardware, and the program may be stored in a computer readable storage medium, and when executed, may include the procedures of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (6)
1. A method for calculating the carbon loading of a diesel DPF based on pressure drop is characterized by comprising the following steps:
estimating the carbon loading in the DPF according to parameters including but not limited to rotating speed, load, DPF exhaust pressure difference, exhaust mass flow, DOC front exhaust temperature, DPF front exhaust temperature and DPF rear exhaust temperature;
calculating a carbon load value based on back pressure through a DPF back pressure model; the DPF backpressure model comprises but is not limited to carbon load pressure drop calculation, Ash Ash estimation, DPF front-back flow resistance calculation, flow resistance and exhaust volume flow filtering, a pressure drop carbon load estimation submodel and a carbon load correction submodel.
2. The diesel DPF pressure drop based carbon loading calculation method of claim 1, wherein the carbon loading pressure drop calculation specifically comprises: the carbon loading capacity pressure drop calculation module acquires the front and rear pressure drop values of the DPF according to the measured value of the DPF differential pressure sensor; calculating the no-load pressure drop of the DPF by taking the temperature of the inner surface of the DPF and the exhaust flow as input; calculating a DPF pressure drop difference correction coefficient according to the exhaust mass flow and the Ash volume; subtracting the DPF no-load pressure drop value from the DPF front and rear pressure drop values to obtain DPF front and rear relative pressure drop values, and multiplying the DPF front and rear relative pressure drop values by an ash pressure drop correction coefficient to obtain corrected DPF front and rear pressure drop values; the volume flow of the exhaust gas is used for correcting the influence of nonlinear pressure drop loss on the flow resistance of the DPF, and finally the carbon loading amount is obtained according to the volume flow of the exhaust gas and the corrected front-back pressure drop difference of the DPF.
3. The diesel DPF pressure drop-based carbon loading calculation method as set forth in claim 1, wherein the Ash estimation specifically comprises: the Ash evaluation module calculates the accumulated basic volume mass of the Ash based on the fuel injection quantity and the rotating speed and carries out time integration so as to obtain the average accumulated volume quantity of the Ash; and correcting the volume mass of the Ash content according to the total running time of the diesel engine on the DPF to obtain the volume mass of the final Ash content, and calculating a carbon loading capacity correction factor of the Ash content based on the volume mass of the Ash content for correcting the carbon loading capacity.
4. The method of pressure drop based carbon loading calculation for a diesel DPF as set forth in claim 1, wherein said DPF front-to-back flow resistance calculation specifically comprises: the flow resistance calculation module takes exhaust flow and carbon load pressure drop as input, calculates a flow resistance basic value of the air flow inside the DPF, performs temperature correction according to the temperature of the inner surface of the DPF, converts to obtain the flow resistance of the air flow inside the DPF at a standard temperature, and finally performs correction of ash content.
5. The diesel DPF pressure drop-based carbon loading calculation method as set forth in claim 1, wherein the flow resistance and exhaust volume flow filtering specifically comprises: the filtering module evaluates the working state of the DPF through the working parameters of the DPF and judges whether filtering needs to be carried out on the output values of the flow resistance and the exhaust flow.
6. The method for pressure drop based carbon loading calculation of a diesel DPF as set forth in any of claims 1 to 5, wherein said pressure drop carbon loading assessment, carbon loading correction specifically comprises: and the carbon loading capacity evaluation module acquires a carbon loading capacity basic value through a three-dimensional pulse spectrum taking the exhaust flow and the flow resistance as input, and corrects Ash content of Ash.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911303900.2A CN110941917A (en) | 2019-12-17 | 2019-12-17 | Diesel engine DPF carbon loading capacity calculation method based on pressure drop |
| PCT/CN2020/134199 WO2021121060A1 (en) | 2019-12-17 | 2020-12-07 | Method for calculating carbon load of dpf |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911303900.2A CN110941917A (en) | 2019-12-17 | 2019-12-17 | Diesel engine DPF carbon loading capacity calculation method based on pressure drop |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110941917A true CN110941917A (en) | 2020-03-31 |
Family
ID=69911597
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911303900.2A Pending CN110941917A (en) | 2019-12-17 | 2019-12-17 | Diesel engine DPF carbon loading capacity calculation method based on pressure drop |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110941917A (en) |
| WO (1) | WO2021121060A1 (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111796582A (en) * | 2020-07-16 | 2020-10-20 | 江铃汽车股份有限公司 | Remote monitoring and optimizing method for GPF removal diagnosis of gasoline motor car |
| CN112161743A (en) * | 2020-09-29 | 2021-01-01 | 潍柴动力股份有限公司 | Method for evaluating credibility of measured value of DPF (diesel particulate filter) differential pressure sensor and diesel engine |
| CN112213112A (en) * | 2020-09-04 | 2021-01-12 | 中国第一汽车股份有限公司 | Finished automobile GPF carbon loading model correction method based on low-temperature environment cabin |
| CN112507541A (en) * | 2020-11-30 | 2021-03-16 | 潍柴动力股份有限公司 | Differential pressure carbon loading capacity calculation method and related equipment |
| CN112761757A (en) * | 2021-01-27 | 2021-05-07 | 东风商用车有限公司 | DPF initialization self-learning method and device |
| CN112761766A (en) * | 2021-01-27 | 2021-05-07 | 东风商用车有限公司 | DPF carbon loading capacity estimation method and system |
| WO2021121060A1 (en) * | 2019-12-17 | 2021-06-24 | 凯龙高科技股份有限公司 | Method for calculating carbon load of dpf |
| CN113027576A (en) * | 2021-04-06 | 2021-06-25 | 潍柴动力股份有限公司 | Method and device for determining carbon loading capacity |
| CN113074035A (en) * | 2021-05-07 | 2021-07-06 | 潍柴动力股份有限公司 | DPF carbon loading capacity estimation method, device and system |
| CN113177314A (en) * | 2021-04-28 | 2021-07-27 | 一汽解放汽车有限公司 | DPF active regeneration method and device, computer equipment and storage medium |
| CN113565610A (en) * | 2021-06-29 | 2021-10-29 | 广东工业大学 | Method for judging working state of diesel vehicle particle catcher |
| CN113669142A (en) * | 2021-08-31 | 2021-11-19 | 东风商用车有限公司 | Method and device for estimating mass flow of soot in original exhaust of engine |
| CN115142936A (en) * | 2022-06-29 | 2022-10-04 | 天津电子信息职业技术学院 | Optimization analysis method for energy-saving regeneration of ash content of vehicle catalyst |
| CN115405402A (en) * | 2022-08-29 | 2022-11-29 | 潍柴动力股份有限公司 | Method and device for determining carbon loading model, electronic equipment and storage medium |
| CN116104622A (en) * | 2023-04-13 | 2023-05-12 | 潍柴动力股份有限公司 | DPF overload judging method, device, storage medium and equipment |
| CN116291827A (en) * | 2023-03-23 | 2023-06-23 | 无锡雪浪数制科技有限公司 | DPF fault early warning method based on dynamic system identification |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113606025B (en) * | 2021-08-20 | 2022-11-22 | 一汽解放汽车有限公司 | Fault diagnosis method for diesel engine DPF trapping efficiency |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109404107A (en) * | 2018-09-17 | 2019-03-01 | 广东工业大学 | Diesel particulate trap carbon carrying capacity evaluation method |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008079299A2 (en) * | 2006-12-22 | 2008-07-03 | Cummins Inc. | Software, methods and systems including soot loading metrics |
| CN103016104B (en) * | 2012-12-26 | 2014-12-10 | 潍柴动力股份有限公司 | Method and device for calculating cumulated amount of carbon |
| CN104832258B (en) * | 2015-04-30 | 2017-03-15 | 西南交通大学 | A kind of diesel engine particle catcher DPF carbon accumulation amount estimation methods |
| CN106837496B (en) * | 2017-01-25 | 2019-07-16 | 中国第一汽车股份有限公司 | Engine particulate purifying regeneration control system |
| CN110941917A (en) * | 2019-12-17 | 2020-03-31 | 凯龙高科技股份有限公司 | Diesel engine DPF carbon loading capacity calculation method based on pressure drop |
-
2019
- 2019-12-17 CN CN201911303900.2A patent/CN110941917A/en active Pending
-
2020
- 2020-12-07 WO PCT/CN2020/134199 patent/WO2021121060A1/en active Application Filing
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109404107A (en) * | 2018-09-17 | 2019-03-01 | 广东工业大学 | Diesel particulate trap carbon carrying capacity evaluation method |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021121060A1 (en) * | 2019-12-17 | 2021-06-24 | 凯龙高科技股份有限公司 | Method for calculating carbon load of dpf |
| CN111796582B (en) * | 2020-07-16 | 2022-02-08 | 江铃汽车股份有限公司 | Remote monitoring and optimizing method for GPF removal diagnosis of gasoline motor car |
| CN111796582A (en) * | 2020-07-16 | 2020-10-20 | 江铃汽车股份有限公司 | Remote monitoring and optimizing method for GPF removal diagnosis of gasoline motor car |
| CN112213112A (en) * | 2020-09-04 | 2021-01-12 | 中国第一汽车股份有限公司 | Finished automobile GPF carbon loading model correction method based on low-temperature environment cabin |
| CN112161743A (en) * | 2020-09-29 | 2021-01-01 | 潍柴动力股份有限公司 | Method for evaluating credibility of measured value of DPF (diesel particulate filter) differential pressure sensor and diesel engine |
| CN112507541A (en) * | 2020-11-30 | 2021-03-16 | 潍柴动力股份有限公司 | Differential pressure carbon loading capacity calculation method and related equipment |
| CN112761757A (en) * | 2021-01-27 | 2021-05-07 | 东风商用车有限公司 | DPF initialization self-learning method and device |
| CN112761766A (en) * | 2021-01-27 | 2021-05-07 | 东风商用车有限公司 | DPF carbon loading capacity estimation method and system |
| CN112761757B (en) * | 2021-01-27 | 2022-03-15 | 东风商用车有限公司 | DPF initialization self-learning method and device |
| CN113027576A (en) * | 2021-04-06 | 2021-06-25 | 潍柴动力股份有限公司 | Method and device for determining carbon loading capacity |
| CN113177314A (en) * | 2021-04-28 | 2021-07-27 | 一汽解放汽车有限公司 | DPF active regeneration method and device, computer equipment and storage medium |
| CN113074035A (en) * | 2021-05-07 | 2021-07-06 | 潍柴动力股份有限公司 | DPF carbon loading capacity estimation method, device and system |
| CN113565610A (en) * | 2021-06-29 | 2021-10-29 | 广东工业大学 | Method for judging working state of diesel vehicle particle catcher |
| CN113565610B (en) * | 2021-06-29 | 2022-08-16 | 广东工业大学 | Method for judging working state of diesel vehicle particle catcher |
| CN113669142A (en) * | 2021-08-31 | 2021-11-19 | 东风商用车有限公司 | Method and device for estimating mass flow of soot in original exhaust of engine |
| CN115142936A (en) * | 2022-06-29 | 2022-10-04 | 天津电子信息职业技术学院 | Optimization analysis method for energy-saving regeneration of ash content of vehicle catalyst |
| CN115405402A (en) * | 2022-08-29 | 2022-11-29 | 潍柴动力股份有限公司 | Method and device for determining carbon loading model, electronic equipment and storage medium |
| CN115405402B (en) * | 2022-08-29 | 2024-03-19 | 潍柴动力股份有限公司 | Determination method and device of carbon loading model, electronic equipment and storage medium |
| CN116291827A (en) * | 2023-03-23 | 2023-06-23 | 无锡雪浪数制科技有限公司 | DPF fault early warning method based on dynamic system identification |
| CN116291827B (en) * | 2023-03-23 | 2023-10-27 | 无锡雪浪数制科技有限公司 | DPF fault early warning method based on dynamic system identification |
| CN116104622A (en) * | 2023-04-13 | 2023-05-12 | 潍柴动力股份有限公司 | DPF overload judging method, device, storage medium and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021121060A1 (en) | 2021-06-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110941917A (en) | Diesel engine DPF carbon loading capacity calculation method based on pressure drop | |
| CN109184872B (en) | Method for judging regeneration opportunity of diesel engine DPF based on carbon loading capacity | |
| JP4506539B2 (en) | Exhaust gas purification device for internal combustion engine | |
| JP4513593B2 (en) | Exhaust gas purification device for internal combustion engine | |
| CN108487970B (en) | Temperature control device for regeneration stage of particle filtering and trapping device and calculation method | |
| CN111102040A (en) | Method and system for calculating carbon loading of non-road diesel engine particle trap | |
| JP4320621B2 (en) | Exhaust gas purification device for internal combustion engine | |
| US20070119128A1 (en) | Exhaust gas cleaning device for internal combustion engine | |
| CN112761766B (en) | DPF carbon loading capacity estimation method and system | |
| JP5030020B2 (en) | Exhaust gas purification device for internal combustion engine | |
| CN112282905B (en) | DPF carbon loading capacity estimation method and device | |
| CN113027575B (en) | Control method and device for exhaust emission and engine thermal management system | |
| CN106837496B (en) | Engine particulate purifying regeneration control system | |
| CN113530656B (en) | DPF fault monitoring method and device | |
| KR20090089318A (en) | Method for the calibration and management of an exhaust line comprising a particle filter | |
| JP4574460B2 (en) | Exhaust gas purification device for internal combustion engine | |
| CN113738485B (en) | Carbon loading capacity determining method and device | |
| CN113565610A (en) | Method for judging working state of diesel vehicle particle catcher | |
| KR20120015357A (en) | Exhaust gas purification device for internal combustion engine | |
| CN114961927A (en) | Particulate matter filtering efficiency control method and device | |
| JP2009174368A (en) | Exhaust emission device of internal combustion engine | |
| JP4986667B2 (en) | Exhaust purification device | |
| JP2006274906A (en) | Exhaust emission control device | |
| CN114508407B (en) | Method and device for determining DPF removal | |
| JP5912494B2 (en) | Diesel engine exhaust purification system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200331 |